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Amazon Data Engineer Jobs (NOW HIRING)

Computer Task Group, Inc

AWS Data Engineer

Armonk, NY

$123K - $147K/yr

Amazon Redshift and Redshift Spectrum * Amazon RDS * Amazon DynamoDB * AWS Lambda * AWS Step ... data engineering experience. * Hands-on experience developing enterprise AWS data platforms.

New

Computer Task Group, Inc

AWS Data Engineer

Armonk, NY

$123K - $147K/yr

Amazon Redshift and Redshift Spectrum * Amazon RDS * Amazon DynamoDB * AWS Lambda * AWS Step ... data engineering experience. * Hands-on experience developing enterprise AWS data platforms.

New

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

They are seeking a skilled Data Engineer to design, build, and maintain data infrastructure ... Amazon Redshift, or BigQuery. • Leverage frameworks like Apache Spark, Databricks, or Apache ...

Amazon

Data Engineer II , UTR Data Engineering

Bellevue, WA · On-site

$129K - $155K/yr

Our pipelines feed the planning systems that determine how Amazon staffs its delivery network ... We are hiring a Data Engineer to own significant portions of our data architecture, drive the ...

uMotif

Data Engineer

Dover, DE · Remote

$114K - $137K/yr

Support dashboard and reporting tools including Grafana and Amazon QuickSight with optimized ... Mentor junior engineers and analysts on SQL patterns, optimisation techniques, and data engineering ...

New

Amazon

Data Engineer, OIS/CXI Analytics

Austin, TX · On-site

$113K - $136K/yr

Join the OIS/CXI Analytics team to build strategic data infrastructure powering Amazon's Operations ... As a Data Engineer, you will build and maintain scalable data pipelines and ML-ready data ...

Amazon

Data Engineer, OIS/CXI Analytics

Austin, TX · On-site

$113K - $136K/yr

Join the OIS/CXI Analytics team to build strategic data infrastructure powering Amazon's Operations ... As a Data Engineer, you will build and maintain scalable data pipelines and ML-ready data ...

Amazon

Data Engineer II , UTR Data Engineering

Bellevue, WA · On-site

$129K - $155K/yr

Our pipelines feed the planning systems that determine how Amazon staffs its delivery network ... We are hiring a Data Engineer to own significant portions of our data architecture, drive the ...

My3Tech Inc

AWS Data Engineer

$117K - $140K/yr

AWS Data Engineer Location: 1305 E Walnut St, Des Moines, IA 50319 REMOTE This position is for an ... Amazon Dynamo). The successful candidate will be required to follow standard practices for ...

New

Amazon

Data Engineer, OIS/CXI Analytics

Austin, TX · On-site

$113K - $136K/yr

Join the OIS/CXI Analytics team to build strategic data infrastructure powering Amazon's Operations ... As a Data Engineer, you will build and maintain scalable data pipelines and ML-ready data ...

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All JobsAmazon Data Engineer Jobs

Amazon Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do amazon data engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for amazon data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Amazon Data Engineer position, and why are they important?

To thrive as an Amazon Data Engineer, you need strong proficiency in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically accompanied by a degree in computer science or a related field. Familiarity with AWS cloud services (like Redshift, S3, and Glue), big data tools, and relevant certifications such as AWS Certified Data Analytics are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-functional teams set standout candidates apart. These skills and qualities ensure data is accurately managed, integrated, and made accessible for analytics and business decisions in Amazon's complex environment.

What types of projects and data challenges do Amazon Data Engineers typically work on in their day-to-day roles?

As an Amazon Data Engineer, you can expect to work on projects involving the design, development, and maintenance of large-scale data pipelines and data warehouses. Common challenges include optimizing data flows for efficiency, handling massive and complex datasets, and ensuring data quality and integrity across various sources. You'll frequently collaborate with data scientists, analysts, and other engineering teams to create scalable solutions that support business intelligence and machine learning initiatives. The fast-paced environment provides opportunities to solve unique technical problems and drive data-driven decision-making across Amazon’s diverse businesses.

What is an Amazon Data Engineer job?

An Amazon Data Engineer is responsible for designing, building, and maintaining data infrastructure to support business intelligence and analytics. They work with large-scale datasets, optimize data pipelines, and ensure efficient data processing. Engineers collaborate with data scientists, analysts, and software teams to enable data-driven decision-making. Key skills include SQL, Python, ETL development, and experience with AWS services like Redshift, S3, and Glue.

More about Amazon Data Engineer jobs
What cities are hiring for Amazon Data Engineer jobs? Cities with the most Amazon Data Engineer job openings:
What are the most commonly searched types of Amazon Data Engineer jobs? The most popular types of Amazon Data Engineer jobs are:
What states have the most Amazon Data Engineer jobs? States with the most job openings for Amazon Data Engineer jobs include:
What job categories do people searching Amazon Data Engineer jobs look for? The top searched job categories for Amazon Data Engineer jobs are:
Amazon Data Engineer jobs near you
Infographic showing various Amazon Data Engineer job openings in the United States as of June 2026, with employment types broken down into 66% Full Time, 33% Part Time, and 1% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
AWS Data Engineer

AWS Data Engineer

Purple Drive Technologies LLC

Charlotte, NC • On-site

$111K - $134K/yr

Other

Posted 5 days ago

Job description

Job Title: AWS Data Engineer

Location: Charlotte, NC
Job Type: Full-Time
Experience: 8-10 Years


Job Summary

We are seeking an experienced AWS Data Engineer to design, build, and optimize scalable, event-driven data platforms on AWS. The ideal candidate will have strong expertise in AWS data services, real-time streaming architectures, ETL development, and Infrastructure as Code (Terraform). This role will focus on building high-performance data pipelines supporting fraud detection, analytics, and customer engagement platforms.


Required Skills AWS Data Engineering
  • Strong hands-on experience with:
    • AWS Lambda
    • Amazon S3
    • Amazon EventBridge
    • Amazon Kinesis (Data Streams & Firehose)
    • AWS Glue (ETL & Crawlers)
    • AWS Step Functions
    • Amazon Athena
    • Amazon Connect
    • Amazon Macie
  • Experience designing and implementing AWS Data Lake architectures

Programming & Data Processing
  • Strong proficiency in:
    • Python
    • PySpark
  • Experience developing:
    • ETL/ELT Pipelines
    • Data Transformation Workflows
    • Real-Time Data Processing
  • Hands-on experience with:
    • Parquet File Format
    • Glue Crawlers
    • AWS Glue Data Catalog

Streaming & Event-Driven Architecture
  • Experience with:
    • Event-Driven Architecture
    • Publish/Subscribe (Pub/Sub) Models
    • Apache Kafka
    • Amazon EventBridge
    • Kinesis Data Streams
    • Kinesis Firehose

DevOps & Infrastructure
  • Hands-on experience with:
    • Terraform (Infrastructure as Code)
    • CI/CD Pipelines
    • Cloud Automation
  • Experience deploying and managing AWS infrastructure

Data Analytics & Security
  • Experience using:
    • Amazon Athena
    • AWS Glue Catalog
    • Amazon Macie
  • Strong understanding of:
    • Data Governance
    • Data Security
    • Data Integrity
    • Performance Optimization


Key Responsibilities
  • Design and implement scalable AWS-based data engineering solutions
  • Develop real-time event-driven architectures using EventBridge, Kafka, and Kinesis
  • Build and optimize ETL pipelines using AWS Glue, Python, and PySpark
  • Configure and manage AWS Glue Crawlers for automated schema discovery and metadata management
  • Design and maintain data lakes using Amazon S3, Parquet, Glue Catalog, and Athena
  • Develop integrations between Customer Profiles, messaging platforms, and downstream systems
  • Build automated workflows using AWS Step Functions
  • Provision and manage AWS infrastructure using Terraform
  • Implement CI/CD pipelines for automated deployment and infrastructure management
  • Perform end-to-end testing, monitoring, troubleshooting, and performance tuning
  • Optimize cloud architecture for scalability, reliability, cost efficiency, and security
  • Maintain technical documentation, architecture diagrams, and operational runbooks


Preferred Qualifications
  • Experience in fraud detection or financial services platforms
  • AWS Certifications (Solutions Architect, Data Engineer, or Developer Associate)
  • Experience with:
    • Lakehouse Architectures
    • Streaming Analytics
    • Cloud-Native Data Platforms
  • Knowledge of DevOps best practices and Infrastructure Automation

Apply